VLSI Signal Processing Principles, Practices, and Applications This comprehensive resource shows how very-large-scale integration (VLSI) technology can be effectively deployed in real-world electronics to meet cost, power, function, and reliability requirements. VLSI Analog Circuits: Algorithm, Architecture, Modeling, and Circuit Implementation, Second Edition, is a textbook for advanced electrical engineering courses that shows, step-by-step, how to analyze and solve practical design problems using VLSI. You will get up-to-date discussions on VLSI passive, active-RC, MOS-C, Gm-C, CTI, SC, and SI analog filter circuits. Mixed-mode configurations, VLSI RF signal processing, and circuit tuning techniques are explained in full detail. Coverage includes: • VLSI continuous-time signal processing fundamentals • VLSI active-RC, MOS-C, and VLSI Gm-C circuits • VLSI continuous-time current-mode filters • VLSI discrete-time signal processing systems • VLSI switched-capacitor and switched-current circuits • Frequency-scaling and transformation techniques • Mixed-mode VLSI analog signal processing • Component and ladder simulation-based VLSI design • Practical design aspects of VLSI analog filters • VLSI RF signal processing circuits • Digital-based analog signal processing circuits

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. VLSI Signal Processing Principles, Practices, and Applications This comprehensive resource shows how very-large-scale integration (VLSI) technology can be effectively deployed in real-world electronics to meet cost, power, function, and reliability requirements. VLSI Analog Circuits: Algorithm, Architecture, Modeling, and Circuit Implementation, Second Edition, is a textbook for advanced electrical engineering courses that shows, step-by-step, how to analyze and solve practical design problems using VLSI. You will get up-to-date discussions on VLSI passive, active-RC, MOS-C, Gm-C, CTI, SC, and SI analog filter circuits. Mixed-mode configurations, VLSI RF signal processing, and circuit tuning techniques are explained in full detail. Coverage includes: • VLSI continuous-time signal processing fundamentals • VLSI active-RC, MOS-C, and VLSI Gm-C circuits • VLSI continuous-time current-mode filters • VLSI discrete-time signal processing systems • VLSI switched-capacitor and switched-current circuits • Frequency-scaling and transformation techniques • Mixed-mode VLSI analog signal processing • Component and ladder simulation-based VLSI design • Practical design aspects of VLSI analog filters • VLSI RF signal processing circuits • Digital-based analog signal processing circuits

This reference was developed for a graduate level course (EEE598: Structural VLSI Analog Circuit Design Based on Symmetry) offered in the School of Electrical, Computer and Energy Engineering at Arizona State University. The materials are organized in 24 topics including the collection of design problems in structural VLSI analog circuit design

This volume contains the proceedings of a workshop on Analog Integrated Neural Systems held May 8, 1989, in connection with the International Symposium on Circuits and Systems. The presentations were chosen to encompass the entire range of topics currently under study in this exciting new discipline. Stringent acceptance requirements were placed on contributions: (1) each description was required to include detailed characterization of a working chip, and (2) each design was not to have been published previously. In several cases, the status of the project was not known until a few weeks before the meeting date. As a result, some of the most recent innovative work in the field was presented. Because this discipline is evolving rapidly, each project is very much a work in progress. Authors were asked to devote considerable attention to the shortcomings of their designs, as well as to the notable successes they achieved. In this way, other workers can now avoid stumbling into the same traps, and evolution can proceed more rapidly (and less painfully). The chapters in this volume are presented in the same order as the corresponding presentations at the workshop. The first two chapters are concerned with fmding solutions to complex optimization problems under a predefmed set of constraints. The first chapter reports what is, to the best of our knowledge, the first neural-chip design. In each case, the physics of the underlying electronic medium is used to represent a cost function in a natural way, using only nearest-neighbor connectivity.

The motivation for starting the work described in this book was the interest that Hewlett-Packard's microwave circuit designers had in simulation techniques that could tackle the problem of finding steady state solutions for nonlinear circuits, particularly circuits containing distributed elements such as transmission lines. Examining the problem of computing steady-state solutions in this context has led to a collection of novel numerical algorithms which we have gathered, along with some background material, into this book. Although we wished to appeal to as broad an audience as possible, to treat the subject in depth required maintaining a narrow focus. Our compromise was to assume that the reader is familiar with basic numerical methods, such as might be found in [dahlquist74] or [vlach83], but not assume any specialized knowledge of methods for steady-state problems. Although we focus on algorithms for computing steady-state solutions of analog and microwave circuits, the methods herein are general in nature and may find use in other disciplines. A number of new algorithms are presented, the contributions primarily centering around new approaches to harmonic balance and mixed frequency-time methods. These methods are described, along with appropriate background material, in what we hope is a reasonably satisfying blend of theory, practice, and results. The theory is given so that the algorithms can be fully understood and their correctness established.

Very large scale integration (VLSI) technologies are now maturing with a current emphasis toward submicron structures and sophisticated applications combining digital as well as analog circuits on a single chip. Abundant examples are found on today's advanced systems for telecom munications, robotics, automotive electronics, image processing, intelli gent sensors, etc .. Exciting new applications are being unveiled in the field of neural computing where the massive use of analog/digital VLSI technologies will have a significant impact. To match such a fast technological trend towards single chip ana logi digital VLSI systems, researchers worldwide have long realized the vital need of producing advanced computer aided tools for designing both digital and analog circuits and systems for silicon integration. Ar chitecture and circuit compilation, device sizing and the layout genera tion are but a few familiar tasks on the world of digital integrated circuit design which can be efficiently accomplished by matured computer aided tools. In contrast, the art of tools for designing and producing analog or even analogi digital integrated circuits is quite primitive and still lack ing the industrial penetration and acceptance already achieved by digital counterparts. In fact, analog design is commonly perceived to be one of the most knowledge-intensive design tasks and analog circuits are still designed, largely by hand, by expert intimately familiar with nuances of the target application and integrated circuit fabrication process. The techniques needed to build good analog circuits seem to exist solely as expertise invested in individual designers.

This book describes a new type of computer aided VLSI design tool, called a VLSI System Planning, that is meant to aid designers dur ing the early, or conceptual, state of design. During this stage of design, the objective is to define a general design plan, or approach, that is likely to result in an efficient implementation satisfying the initial specifications, or to determine that the initial specifications are not realizable. A design plan is a collection of high level design decisions. As an example, the conceptual design of digital filters involves choosing the type of algorithm to implement (e. g. , finite impulse response or infinite impulse response), the type of polyno mial approximation (e. g. , Equiripple or Chebyshev), the fabrication technology (e. g. , CMOS or BiCMOS), and so on. Once a particu lar design plan is chosen, the detailed design phase can begin. It is during this phase that various synthesis, simulation, layout, and test activities occur to refine the conceptual design, gradually filling more detail until the design is finally realized. The principal advantage of VLSI System Planning is that the increasingly expensive resources of the detailed design process are more efficiently managed. Costly redesigns are minimized because the detailed design process is guided by a more credible, consistent, and correct design plan.